On Thu, May 22, 2008 at 1:32 PM, Bruce Southey <[EMAIL PROTECTED]> wrote:
> Hi, > Thanks very much for the confirmation. > > Bruce > > On Thu, May 22, 2008 at 2:09 PM, Robert Kern <[EMAIL PROTECTED]> > wrote: > > On Thu, May 22, 2008 at 10:24 AM, Travis E. Oliphant > > <[EMAIL PROTECTED]> wrote: > >> Bruce Southey wrote: > >>> Hi, > >>> Is it bug if different NumPy types have different attributes? > >>> > >> I don't think so, other than perhaps we should not have the Python types > >> in the numpy namespace. > >> > >> numpy.float is just __builtin__.float which is a Python type not a > >> NumPy data-type object. > >> > >> numpy.float64 inherits from numpy.float however. > > > > And I believe this is the cause of the difference between the > > attributes of numpy.float32/numpy.float128 and numpy.float64. Same > > deal with int0 and int64 on your presumably 64-bit platform. > > It also leads to various inconsistencies: In [1]: float32(array([[1]])) Out[1]: array([[ 1.]], dtype=float32) In [2]: float64(array([[1]])) Out[2]: 1.0 Chuck
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